{"id":"https://openalex.org/W4411799393","doi":"https://doi.org/10.1109/tgrs.2025.3584094","title":"Burden-Free Distillation From Foundation Model for Efficient Remote Sensing Change Detection","display_name":"Burden-Free Distillation From Foundation Model for Efficient Remote Sensing Change Detection","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4411799393","doi":"https://doi.org/10.1109/tgrs.2025.3584094"},"language":"en","primary_location":{"id":"doi:10.1109/tgrs.2025.3584094","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2025.3584094","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Geoscience and Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5065660222","display_name":"Shuang Wang","orcid":"https://orcid.org/0000-0003-4940-1211"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shuang Wang","raw_affiliation_strings":["Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education of China, Xidian University, Xi’an, China"],"raw_orcid":"https://orcid.org/0000-0003-4940-1211","affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education of China, Xidian University, Xi’an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042003236","display_name":"Chonghua Lv","orcid":null},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chonghua Lv","raw_affiliation_strings":["Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education of China, Xidian University, Xi’an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education of China, Xidian University, Xi’an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085893076","display_name":"Dou Quan","orcid":"https://orcid.org/0000-0001-6943-4657"},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dou Quan","raw_affiliation_strings":["Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education of China, Xidian University, Xi’an, China"],"raw_orcid":"https://orcid.org/0000-0001-6943-4657","affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education of China, Xidian University, Xi’an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066376249","display_name":"Ning Huyan","orcid":"https://orcid.org/0000-0002-6123-8659"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ning Huyan","raw_affiliation_strings":["Department of Automation, Tsinghua University, Beijing, China","department of Automation, Tsinghua University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Automation, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"department of Automation, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101281327","display_name":"Xianwei Cao","orcid":null},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xianwei Cao","raw_affiliation_strings":["Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education of China, Xidian University, Xi’an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education of China, Xidian University, Xi’an, China","institution_ids":["https://openalex.org/I149594827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046402362","display_name":"Jingxi Sun","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jingxi Sun","raw_affiliation_strings":["Sichuan Aerospace System Engineering Institute, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sichuan Aerospace System Engineering Institute, Chengdu, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050630882","display_name":"Licheng Jiao","orcid":null},"institutions":[{"id":"https://openalex.org/I149594827","display_name":"Xidian University","ror":"https://ror.org/05s92vm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I149594827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Licheng Jiao","raw_affiliation_strings":["Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education of China, Xidian University, Xi’an, China"],"raw_orcid":"https://orcid.org/0000-0003-3354-9617","affiliations":[{"raw_affiliation_string":"Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education of China, Xidian University, Xi’an, China","institution_ids":["https://openalex.org/I149594827"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5065660222"],"corresponding_institution_ids":["https://openalex.org/I149594827"],"apc_list":null,"apc_paid":null,"fwci":1.0273,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.79915677,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"63","issue":null,"first_page":"1","last_page":"13"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.6100999712944031,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.6100999712944031,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5912837982177734},{"id":"https://openalex.org/keywords/foundation","display_name":"Foundation (evidence)","score":0.583540141582489},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.545667827129364},{"id":"https://openalex.org/keywords/change-detection","display_name":"Change detection","score":0.5191718339920044},{"id":"https://openalex.org/keywords/distillation","display_name":"Distillation","score":0.5081794261932373},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.22179928421974182},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.14980411529541016}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5912837982177734},{"id":"https://openalex.org/C2780966255","wikidata":"https://www.wikidata.org/wiki/Q5474306","display_name":"Foundation (evidence)","level":2,"score":0.583540141582489},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.545667827129364},{"id":"https://openalex.org/C203595873","wikidata":"https://www.wikidata.org/wiki/Q25389927","display_name":"Change detection","level":2,"score":0.5191718339920044},{"id":"https://openalex.org/C204030448","wikidata":"https://www.wikidata.org/wiki/Q101017","display_name":"Distillation","level":2,"score":0.5081794261932373},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.22179928421974182},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.14980411529541016},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tgrs.2025.3584094","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tgrs.2025.3584094","pdf_url":null,"source":{"id":"https://openalex.org/S111326731","display_name":"IEEE Transactions on Geoscience and Remote Sensing","issn_l":"0196-2892","issn":["0196-2892","1558-0644"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Geoscience and Remote Sensing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.550000011920929,"id":"https://metadata.un.org/sdg/13","display_name":"Climate action"}],"awards":[{"id":"https://openalex.org/G1741041753","display_name":null,"funder_award_id":"U22B2054","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1836536549","display_name":null,"funder_award_id":"62271377","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G631455688","display_name":null,"funder_award_id":"2022M722496","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G6983301035","display_name":null,"funder_award_id":"62201407","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":58,"referenced_works":["https://openalex.org/W1821462560","https://openalex.org/W2023847826","https://openalex.org/W2036798369","https://openalex.org/W2038855804","https://openalex.org/W2068115394","https://openalex.org/W2160544350","https://openalex.org/W2170140722","https://openalex.org/W2891248708","https://openalex.org/W2908320224","https://openalex.org/W2951991161","https://openalex.org/W2952787292","https://openalex.org/W2963073217","https://openalex.org/W2995808743","https://openalex.org/W3027201985","https://openalex.org/W3027225766","https://openalex.org/W3036453075","https://openalex.org/W3048064159","https://openalex.org/W3094502228","https://openalex.org/W3105676814","https://openalex.org/W3120467244","https://openalex.org/W3130754787","https://openalex.org/W3160330105","https://openalex.org/W3174102142","https://openalex.org/W3177196641","https://openalex.org/W3180045188","https://openalex.org/W3184566187","https://openalex.org/W3196294958","https://openalex.org/W4214524539","https://openalex.org/W4225648150","https://openalex.org/W4226228401","https://openalex.org/W4226327869","https://openalex.org/W4285243313","https://openalex.org/W4292828923","https://openalex.org/W4312549298","https://openalex.org/W4378804791","https://openalex.org/W4384787738","https://openalex.org/W4386065512","https://openalex.org/W4386076397","https://openalex.org/W4386083036","https://openalex.org/W4386299129","https://openalex.org/W4389890877","https://openalex.org/W4390874575","https://openalex.org/W4391892563","https://openalex.org/W4391991763","https://openalex.org/W4394938913","https://openalex.org/W6637551013","https://openalex.org/W6759579507","https://openalex.org/W6791353385","https://openalex.org/W6794559225","https://openalex.org/W6797399245","https://openalex.org/W6798160016","https://openalex.org/W6800751262","https://openalex.org/W6802987763","https://openalex.org/W6809890315","https://openalex.org/W6853219587","https://openalex.org/W6853638429","https://openalex.org/W6858949762","https://openalex.org/W6875507458"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2381393187","https://openalex.org/W2332779545","https://openalex.org/W2568858292","https://openalex.org/W1515964938","https://openalex.org/W2389381914","https://openalex.org/W2390279801","https://openalex.org/W4391913857"],"abstract_inverted_index":{"Applying":[0],"vision":[1,22,79],"foundation":[2,23,34,80,95,104,117,127,135,157,188,199,214,226],"models":[3,24,81,118,128,189,200,215],"to":[4,25,45,82,119,178,182,216,224],"remote":[5],"sensing":[6],"change":[7],"detection":[8],"(CD)":[9],"has":[10],"attracted":[11],"extensive":[12,195],"research":[13],"attention.":[14],"These":[15],"studies":[16],"employ":[17,32],"inherent":[18],"general":[19,114,159],"knowledge":[20,77,115,137,212],"from":[21,78,116],"enhance":[26,83],"CD":[27,84,163,180,191,202,217,228],"performance.":[28],"Existing":[29],"methods":[30,52],"explicitly":[31,92],"the":[33,47,55,62,70,76,94,113,124,134,156,162,179,211,232,243],"model":[35,136,181,233],"as":[36],"a":[37],"feature":[38,148],"extractor":[39],"while":[40,86],"designing":[41],"additional":[42,220],"learnable":[43],"modules":[44],"bridge":[46],"task":[48,185],"gap.":[49],"However,":[50],"these":[51],"substantially":[53],"increase":[54],"computational":[56,88,221],"burden":[57],"and":[58,161,190,201,237],"memory":[59],"demand":[60],"in":[61],"inference.":[63,130],"This":[64,144],"paper":[65],"therefore":[66],"focuses":[67],"on":[68,126,242],"addressing":[69],"core":[71],"challenge":[72],"of":[73,91,213],"effectively":[74,209],"leveraging":[75],"performance":[85],"maintaining":[87],"efficiency.":[89],"Instead":[90],"utilizing":[93],"model,":[96],"we":[97,168],"propose":[98],"Burden-Free":[99],"Distillation":[100],"(BFD),":[101],"an":[102],"architecture-agnostic":[103],"model-based":[105,227],"distillation":[106],"framework":[107],"for":[108],"efficient":[109],"CD.":[110],"BFD":[111,132,208,230],"transfers":[112,133,174],"task-specific":[120,165],"models,":[121],"thereby":[122],"eliminating":[123],"dependency":[125],"during":[129],"Specifically,":[131],"through":[138],"Dual-temporal":[139],"Feature":[140],"Matching":[141],"module":[142,145],"(DFM).":[143],"enables":[146],"multi-level":[147],"alignment":[149],"by":[150,235,240],"computing":[151],"pixel-wise":[152],"spatial":[153],"similarity":[154],"between":[155,187],"models\u2019":[158,164],"features":[160],"features.":[166],"Additionally,":[167],"leverage":[169],"patch":[170],"contrastive":[171],"distillation,":[172],"which":[173],"localized":[175],"structural":[176],"patterns":[177],"further":[183],"mitigate":[184],"discrepancies":[186],"models.":[192],"We":[193],"conduct":[194],"experiments":[196],"across":[197],"multiple":[198],"architectures,":[203],"experimental":[204],"results":[205],"demonstrate":[206],"that":[207],"adapts":[210],"tasks":[218],"without":[219],"burden.":[222],"Compared":[223],"other":[225],"methods,":[229],"reduces":[231],"parameters":[234],"80.3%":[236],"improves":[238],"IoU":[239],"1.78%":[241],"S2Looking":[244],"dataset.":[245],"The":[246],"code":[247],"is":[248],"available":[249],"at":[250],"https://github.com/Younger-hua/Burden-Free-Distillation.":[251]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}